Built by recruiters who got tired of recruitment.
We started Vettd because we watched great companies struggle to hire, and watched great candidates get rejected by broken processes. There had to be a better way.
Learn Our StoryOur Mission
We believe every candidate deserves a fair evaluation, and every company deserves to find the right person — without spending a fortune or waiting months.
Recruitment shouldn't be a lottery. It shouldn't require an army of recruiters or a six-figure platform. And it definitely shouldn't take half a year to fill a role.
Companies trust Vettd
Average ROI in year one
Faster time-to-hire
The Problem We Solve
Mid-market companies ($10M–$150M revenue) are stuck in a painful in-between:
- ✓Too big for job boards alone. LinkedIn and Indeed aren't enough—you need sourcing, screening, and coordination.
- ✓Too small for enterprise platforms. Workday, Eightfold, and Oracle cost $200K+/year and require 6-month implementations.
- ✓Agencies are bleeding them dry. Recruiters take 20% per hire—for a $80K engineer, that's $16K in fees.
- ✓Internal teams are stretched thin. 1–2 recruiters juggling multiple roles, managing spreadsheets, drowning in emails.
We built Vettd AI to be the mid-market's unfair advantage.
Our Approach
Three pillars that guide everything we build.
Transparency First
Every AI decision is explainable. No black boxes. Candidates see why they passed or failed. Hiring teams see the reasoning behind every score.
Human + AI
AI handles the volume work—initial screening, structured interviews, background validation. Humans make the final decisions. The best of both worlds.
Fair by Design
Bias-free screening. Auditable processes. GDPR native. Every hire comes with a complete audit trail. Compliance isn't an afterthought—it's built in.
Meet Our Team
We're a team of recruiters, engineers, and AI researchers based across London, New York, and Dubai.
Alex Ingram
CEO & Co-founder
Ex-recruiter at Sequoia. Built recruiting teams that scaled from 0-200 hires/year.
Sophie Ellis
CTO & Co-founder
AI researcher from Cambridge. 8 years building ML systems at scale.
Raj Kumar
VP Product
Product leader at Workable. Passionate about simplifying complexity.
Maya Chen
Head of AI
PhD in ML. Stanford GSB. Building fair, auditable AI systems.
Backed By
Supported by leading investors in HR tech and AI.